Episode Transcript
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0:00
Something bad like this
0:02
does not always need to
0:04
translate into a financial stability
0:07
credit events like a one shock
0:09
limit thing. But however, it could
0:11
be a slow moving train wreck
0:14
in the sense that it could
0:16
be, it just means that the
0:19
resilience of the economy and consumption
0:21
would be much lower because people
0:23
won't be able to borrow. I
0:26
think 30% adjustment and S&P
0:28
500 is not out of
0:31
the realm of possibility. Welcome
0:33
to Thawful Money. I'm its
0:35
founder and your host, Adam
0:38
Taggart. Today's guest had one
0:40
of the best track records
0:42
last year in forecasting key
0:44
economic indicators like the rates
0:46
of inflation and unemployment. Well,
0:48
now that we've got a
0:50
new administration in place, one
0:52
aggressively deploying disruptive economic policy
0:55
changes, where does she see
0:57
the key indicators headed from
0:59
here? To find out, we've
1:01
got the good fortune to
1:03
speak today with Dr. Anna
1:05
Wong, Chief U.S. Economist for
1:07
Bloomberg Economics. Prior to her
1:09
current role, Anna also worked at
1:11
the Federal Reserve Board, the White
1:13
House Council of Economics Advisors, and
1:15
the U.S. Treasury. Anna, thanks so
1:17
much for joining us for joining us
1:19
today. Thank you. I'm so looking
1:21
forward to this conversation. You could not
1:24
be a better guest for a more
1:26
topical topic, which is tariffs. And the
1:28
day this is recorded, being recorded is
1:30
the day before Liberation Day. So we're
1:33
recording this on April Fool's Day. The
1:35
day is going to launch is going
1:37
to be the day after Liberation Day, where
1:39
people are going to have an awful lot
1:41
of questions about all this. So again, like
1:44
I said, you're the perfect person for this
1:46
moment in time. So we're going to get
1:48
to tariffs in just a quick second, but
1:50
very quickly, if we can, Anna, let's just,
1:52
since it's been a little while since you've
1:54
been on the channel, let's just do a
1:57
quick refresh and sort of how you see
1:59
the world right now. What's your current assessment?
2:01
the global economy and financial markets? I
2:03
think that the sentiment data,
2:05
so consumer sentiment, small business
2:08
sentiment, they are all coming
2:10
off from a honeymoon period,
2:12
which is actually perfectly forecastable.
2:14
If you look at past,
2:16
you know, presidential elections, the
2:18
improvement in consumer sentiment typically
2:20
last... five to six months
2:23
and so we are basically
2:25
right on time for the
2:27
salary of the sentiment. But
2:29
I think what makes the
2:31
current moment more tricky or
2:33
nebulous than other transition moments
2:35
from one administration to another
2:38
is that we are also
2:40
coming off of four years
2:42
of extreme fiscal stimulus and
2:44
this new administration not only
2:46
are announcing new ways to
2:48
downsize the government which has
2:51
you know exacerbated a lot
2:53
of these souring of the
2:55
sentiment that was going to
2:57
happen anyway but on top
2:59
of that there were these
3:01
you know stealth fiscal stimulus
3:03
that's been boosting the economy
3:06
in the past two years
3:08
that are just expiring and
3:10
go fading away and in
3:12
fact even if Trump were
3:14
to do nothing many of
3:16
these you know, expiring fiscal
3:18
stimulus, we're going to be
3:21
dampening economic growth. So basically
3:23
the economy, U.S. economy is
3:25
experiencing the double whammy of
3:27
new administration policies that's accelerating
3:29
underlying vulnerabilities, vulnerabilities of the
3:31
economy. And of course the
3:33
third... whammy is that the
3:36
world economy will be affected
3:38
by all this and the
3:40
uncertainty of it all is
3:42
going to I think bring
3:44
down you know slow down
3:46
economic growth so all together
3:49
it seems clear that at
3:51
least in the next three
3:53
or six months, the outlook
3:55
is not bright. Okay, outlook
3:57
not bright. So this issue
3:59
of a downshifting of the
4:01
fiscal stimulus, as well as
4:04
a removal or ending of
4:06
the stealth part of that
4:08
fiscal stimulus, it's a big
4:10
deal. It's something that a
4:12
couple folks who have proceeded
4:14
you on this channel have
4:16
warned about most notably. I'd
4:19
probably put Michael Howl and
4:21
Darius Dale at the top
4:23
of the list. I'm sure
4:25
you're familiar with their work.
4:27
At our recent conference for
4:29
thoughtful money, Michael walked in
4:32
detail through what he called
4:34
the not QE QE and
4:36
not yield control, yield control
4:38
control that he believes that
4:40
the calculates that the Fed
4:42
and the Treasury were engaged
4:44
in over the past couple
4:47
years. And as you said,
4:49
showed that that is really
4:51
ending now here. And you
4:53
know, Michael's Michael's lens is
4:55
all about capital flows and
4:57
when capital flows start diminishing
4:59
and then perhaps even shrinking
5:02
you know that's when he
5:04
starts to get real worried
5:06
about markets sounds economies economic
5:08
growth and markets sounds like
5:10
you are seeing through a
5:12
similar lens. All right so
5:14
we'll start with this not
5:17
bright outlook given all the
5:19
reasons that you mentioned that
5:21
is kind of the big
5:23
trend that's going on here.
5:25
Let's talk for a moment
5:27
about specifically tariffs because that's
5:30
creating a lot of the
5:32
immediate uncertainty that's going on
5:34
right now. We have this
5:36
whole liberation day this week
5:38
as I talked about in
5:40
the intro. I guess first
5:42
off, Anna, you know, leading
5:45
up to the end of
5:47
last year, you and your
5:49
team there at Bloomberg Economics
5:51
had your forecasts and whatnot.
5:53
How do these Trump tariffs
5:55
sort of the the the
5:57
scope and the scale of
6:00
them? How have they impacted
6:02
your economic outlook, if at
6:04
all, now that we're in
6:06
2025? So first of all,
6:08
you know, Adam, there are
6:10
many economic forces that's hitting
6:13
the economy at the same
6:15
time. Terrorists have been receiving
6:17
the most amount of attention
6:19
in news and how people
6:21
absorb news. The tariffs actually
6:23
comprise of only about 10%
6:25
of total U.S. consumption. So
6:28
you can certainly tariffs and
6:30
the uncertainty of tariffs. is
6:32
going to be dampening growth
6:34
but on the other hand
6:36
what's what's also driving a
6:38
lot of what we're seeing
6:40
are number one the student
6:43
debt the aftermath of the
6:45
grace period for you know
6:47
four or five years grace
6:49
period of student loan forbearance
6:51
and the you know plunge
6:53
and credit scores that's going
6:55
to be affecting nine to
6:58
ten million borrowers and second
7:00
the fiscal stuff that's happening,
7:02
which is also a pretty
7:04
sizable shock to the economy.
7:06
So, but on the tariff
7:08
front, I think what we
7:11
have seen so far is
7:13
just a temporary boost in
7:15
production and ISM manufacturing, or
7:17
just generally manufacturing trade logistic
7:19
sector. So we haven't actually
7:21
seen the negative impact. of
7:23
tariffs in 2018 and 2019.
7:26
This was of several magnitude
7:28
bigger. So this this front
7:30
running in anticipation of the
7:32
liberation day tariffs is one
7:34
of the biggest front running
7:36
we have seen. I mean,
7:38
compared to the front running
7:41
of the tariffs in 2018
7:43
and 2019, this was of
7:45
several magnitude bigger. back in
7:47
the first Trump administration, it
7:49
was barely, you can barely
7:51
detect this firm's front running,
7:53
but right now we have
7:56
seen imports surged in the
7:58
last four months and And
8:00
so inventory also has been increasing.
8:03
So what this means is that
8:05
the hard data we have right
8:08
now is showing production has been
8:10
pretty strong manufacturing payrolls in the
8:12
last February jobs report was a
8:15
very surprising gains in job gains.
8:17
And also in this Friday, jobs
8:20
report. You know, we're going to
8:22
get the March jobs report this
8:24
Friday, and we are expecting that
8:27
the trade and logistics sector is
8:29
going to have a very strong
8:32
showing of hiring. And so these
8:34
are all short-term positive effect of
8:36
a tariff, but the question is,
8:39
what happens when the tariffs are
8:41
actually implemented? And these front-running activity
8:44
stopped. Right. So given the size
8:46
of the run up of this
8:48
front running on inventories, on production,
8:51
on imports, what all these means
8:53
is that it's potentially what April
8:55
2nd means is after these massive
8:58
tariffs are immediately in effect, no
9:00
more front running. So firms are
9:03
just gonna, you know, hang on
9:05
to their existing inventory, barely adding
9:07
to new orders. This is why.
9:10
When you look at these forward
9:12
looking new orders index indices now,
9:15
they're plunging because firms have already
9:17
front ran for four months and
9:19
they probably are foreseeing that they
9:22
have enough inventory until June. And
9:24
so, so I think if we
9:27
I have to separate the impact
9:29
of terrorists into three phases, I
9:31
will, I will do so and
9:34
I will separate the impact of
9:36
tariffs. Actually, how this, Adam. Let
9:39
me rephrase. I'm going to separate
9:41
the impact of tariffs into four
9:43
phases. The first phase is in
9:46
anticipation. of the tariffs and this
9:48
is basically what we have since
9:51
November and up to April 1st.
9:53
And what happened is there are
9:55
a lot of temporary positive effect
9:58
showing up in payrolls, manufacturing production
10:00
imports. Phase two happens after the
10:02
tariffs are imposed. And so suddenly
10:05
you have this freeze of activity.
10:07
This is what I'm forecasting because
10:10
the... build up of the inventories
10:12
from four months, have enough to
10:14
last firms for, you know, three
10:17
or four months. And then in
10:19
these three or four months, the
10:22
firms are going to see whether
10:24
they're going to be hoping that
10:26
President Trump would be negotiating with
10:29
countries and lowering some tariffs and
10:31
giving them more clarity that these
10:34
tariffs are not going to stay.
10:36
And then after the three or
10:38
four months period, where the firms
10:41
are kind of in this subsistence
10:43
mode, then you get into the
10:46
third phase, which is, okay, now
10:48
what are they going to do?
10:50
Are they going to, judging at
10:53
the demand situation of the economy,
10:55
are they going to build back
10:58
up now their inventories, or are
11:00
they have demand plunged so much
11:02
that they decided a recession is
11:05
here, and that they are just
11:07
going to be sticking with you
11:09
know, their low inventory regime. And
11:12
also they would be grappling with
11:14
the issue of, well, if they're
11:17
going to buy more, they would
11:19
need to think about, are they
11:21
going to pass through these prices?
11:24
Because in the phase two where
11:26
it's like subsistence mode, they won't
11:29
be pricing through tariffs just yet
11:31
because they have, these goods they
11:33
have in the inventory are bought
11:36
from before the tariffs, right? So
11:38
they can go on for three
11:41
or four months without passing prices.
11:43
But the point where they really
11:45
need to think about are they
11:48
going to build up tariffs, are
11:50
they build up the inventory again,
11:53
are they going to... to pass
11:55
the prices, that's the phase three,
11:57
right? And that entirely depends on
12:00
the demand condition of the economy.
12:02
And so that would put us
12:05
in about the third quarter of
12:07
this year, closer to fourth quarter,
12:09
and that actually will be a
12:12
critical moment for the economy because
12:14
it will be clear basically around
12:16
in the third quarter of this
12:19
year, whether the pass-through, whether inflation
12:21
is about to rise because many
12:24
forms are able to pass through
12:26
these prices. If they are able
12:28
to pass through these prices, it
12:31
would suggest that demand conditions are
12:33
actually not very weak. I mean,
12:36
I think the only macro circumstance
12:38
where we will see economy-wide pass-through
12:40
into consumer prices is if the
12:43
economy did not tank and the
12:45
stock market is still doing really
12:48
well. Well, in that case, inflation
12:50
will rise and then the Fed
12:52
will not cut at all by
12:55
the end of this year. So
12:57
that's one. one path of where
13:00
you clarity will reveal itself by
13:02
the third quarter. But on the
13:04
other hand, if the other path
13:07
is that firms can't pass through
13:09
these tariffs in the third quarter,
13:12
it suggests that the economy is
13:14
tanking and all these fiscal negative
13:16
fiscal impulses from those layoffs and
13:19
grants cutting are finally one of
13:21
these court cases and they're able
13:23
to implement these and these federal
13:26
workers who have been laid off,
13:28
finally roll off the federal payrolls.
13:31
We're going to see unemployment rate
13:33
rise briskly in the second half
13:35
in the third quarter and the
13:38
fourth quarter. Then in that case,
13:40
there was the limited pass-through in
13:43
inflation and also the Fed might
13:45
be cutting a couple of times
13:47
at the end of this year.
13:50
But regardless, Adam, there's, you know,
13:52
there's a lot of uncertainty about
13:55
how inflation will behave in response
13:57
to these tariffs, but there's... One
13:59
thing that's pretty predictable is that
14:02
the stock market will not do
14:04
well in either path that I
14:07
laid out. In one path, firms
14:09
cannot pass through the price increase,
14:11
so they're taking a margin hit,
14:14
so obviously earnings will take a
14:16
hit, so stock prices will suffer.
14:19
In the other path, they are
14:21
able to pass through these prices.
14:23
However, the Fed will start not
14:26
cutting rates, in fact, they would
14:28
even have to hike. around the
14:30
time of the year because firms
14:33
are able to pass through the
14:35
prices. So stock market will also
14:38
pick. So in either way, the
14:40
stock mark, it's pretty clear what
14:42
directions stock market is heading. All
14:45
right, super fascinating. So I was
14:47
going to ask you there a
14:50
little bit. I'm getting a little
14:52
bit lost on with the step
14:54
four is, but I kind of
14:57
get the step four now. It's
14:59
stock market's not going to do
15:02
well. And it's not going to
15:04
do well because at the end
15:06
of step three. We'll wait to
15:09
see what happens in terms of
15:11
what they're going to do with
15:14
pricing in the tariffs. If they
15:16
can price them in, that's bad
15:18
for the markets for the reasons
15:21
you mentioned. If they can't price
15:23
them in, that's bad for the
15:25
markets because the economy is rolling
15:28
over. Yeah. Okay. All right. Anna,
15:30
that's the perfect answer. Super specific,
15:33
very logical, very actionable for people
15:35
that agree with what you think
15:37
might happen there. All right, so
15:40
so right now, even though even
15:42
though people have been thinking of
15:45
tariff says a negative thing because
15:47
they're creating the stock market uncertainty
15:49
right now, you're basically saying like,
15:52
hey, this is like the honeymoon
15:54
period for tariffs. We've been front
15:57
running. All these orders have been
15:59
coming into America. That's probably been,
16:01
you know, pulling future demand into
16:04
Q1. So Q1 is going to
16:06
look pretty good. But then Q2,
16:09
which is really where we are
16:11
right now starting this week, we
16:13
get into the freeze. Right? And
16:16
it's going to, we're going to
16:18
see what happens with the negotiations,
16:21
how long these are going to
16:23
be. Companies are going to be
16:25
just subsisting off of the inventory
16:28
stockpiles that they built up here.
16:30
Presumably that's not going to make
16:32
economic growth look super spectacular in
16:35
Q2. But again, I think folks
16:37
are probably willing to give it
16:40
a buy depending upon what what
16:42
phase three looks like when we
16:44
get there we won't know so
16:47
we'll be tracking this stuff closely
16:49
and I will be and hopefully
16:52
many of the viewers here will
16:54
be reading your work very closely
16:56
Anna as you track this for
16:59
us in real time. Okay, so
17:01
that's super useful. Now you mentioned.
17:04
There were kind of three big
17:06
things on your mind. One was
17:08
the, let's say the disinflationary impact
17:11
of the downshifting and the fiscal
17:13
stimulus. And it sounds like you
17:16
lump a lot of things into
17:18
that, you know, doges in there,
17:20
a lot of other things that
17:23
the government is up to right
17:25
now. The second you mentioned. were
17:28
the student loans and real quick
17:30
I just want to make sure
17:32
I wrote down that the right
17:35
number about how many borrowers that
17:37
have loans out right now outstanding
17:39
borrowers yeah around around I believe
17:42
between 30 to 40 million half
17:44
student loans but of that the
17:47
New York Fed expects about between
17:49
nine to 10 million will see
17:51
will be they are the ones
17:54
who will be experiencing a credit
17:56
score drop because they have been
17:59
delinquent on their loans for over
18:01
90 days. Okay, so 10 million
18:03
that fall into the potentially we
18:06
would expect it to fall into
18:08
potentially the distressed category. Yeah. And
18:11
do you know kind of off
18:13
the top of your head to
18:15
sort of order of magnitude what
18:18
that represents in terms of total
18:20
loan debt for that category? Like
18:23
do we know the average borrowing
18:25
or lender or lender or borrower?
18:27
Is there the average amount outstanding
18:30
as highest for the baby boomers?
18:32
people or people who fall into
18:35
the age group of 51 years
18:37
old or above. And I believe
18:39
it's around $34,000 per person. That
18:42
would be the average amount. But
18:44
I think the key impact is
18:46
not the direct loan that's going
18:49
to be in delinquency tied to
18:51
that person. It's more of the
18:54
wider impact of credit quality in
18:56
the economy. credit score is used
18:58
in underwriting loans for a lot
19:01
of asset classes. So mortgages, autos.
19:03
Right. So if you are a
19:06
credit risk manager for any of
19:08
these and you look at your
19:10
credit quality loan and you see
19:13
that the average credit score has
19:15
declined by 100 points, then you
19:18
realize that. Well, the loans that
19:20
you've written in the past couple
19:22
of years was not as high
19:25
quality as you thought it was.
19:27
How would you, how would that
19:30
affect your forward looking behavior? So
19:32
the implication, the reason why the
19:34
student loan credit score thing is
19:37
important, I would say a sleeper
19:39
shock in the economy, is because
19:42
number one, it covers about 10
19:44
millions of people, 10 million people,
19:46
and number two. credit score is
19:49
a kind of a transmission mechanism
19:51
of credit quality and you know
19:53
so far in the last three
19:56
years the dog that did not
19:58
bark on recession is credit spreads
20:01
and I think one key ingredient
20:03
of a credit crunch of credit
20:05
crunch is the uncertainty of your
20:08
credit risk. You know in the
20:10
past when you look at financial
20:13
crisis, There's a sizable literature that
20:15
look at how financial crisis could
20:17
sometimes come from the asset side
20:20
of things where when one asset
20:22
quality suddenly deteriorates then the portfolio
20:25
manager would have to pull back
20:27
on the other fire sale the
20:29
other asset right right to right
20:32
and that's often case the mechanism
20:34
of how something something that starts
20:37
the poor risk in one tiny
20:39
sector spreads to more right and
20:41
so far in the last four
20:44
years when you look at all
20:46
the balance sheet, household balance sheet,
20:49
corporate balance sheet data, you'd be
20:51
like, quality is pretty good. And
20:53
household debt to income ratio is
20:56
like the lowest, you know, in
20:58
many, many years. However, I think
21:00
that this credit score, massive credit
21:03
score drop actually tests that narrative.
21:05
which is that how much of
21:08
that good quality really is just
21:10
a suppression of the credit score
21:12
metric and because if I look
21:15
at this the time series of
21:17
the average credit score of outstanding
21:20
mortgage loans by income I mean
21:22
by credit score quintiles we are
21:24
currently about 50 to 80 points
21:27
lower than 2009 right but if
21:29
you think that the there's on
21:32
average a credit score inflation of
21:34
50 to 80 points. In fact,
21:36
the true average credit score is
21:39
actually closer to than 2009 level.
21:41
Then, you know, that's, I mean,
21:44
I just think that this is
21:46
an area that not many people
21:48
are concerned about and I think
21:51
it could potentially be the important
21:53
thing to look at it. But
21:55
certainly. I think the immediate impact
21:58
will see is that there will
22:00
be a pullback in demand after
22:03
this, you know, initial face one
22:05
of terror. because right now people
22:07
are front running the cars tariff
22:10
by buying cars. You know, there's
22:12
now a headline on the Bloomberg
22:15
terminal today that says GM Honda
22:17
sales climb as Trump tariff fear
22:19
spur US car buying. So we're
22:22
still in this honeymoon phase one
22:24
period. But then in the phase
22:27
two, people not only are not
22:29
only are these cars more expensive,
22:31
the credit scores decrease also led
22:34
to more people. will be seeing
22:36
higher financing, more stringent financing terms
22:39
when they go to buy cars.
22:41
And a lot of the people,
22:43
and when you look at the
22:46
demographics, the demand of cars by
22:48
demographics, most of the used car
22:51
buyers are between age 35 and
22:53
49, which happens to be the,
22:55
you know, the age group that
22:58
carry the most amount of student
23:00
loans. And the people who buy
23:02
who are who who to dominate
23:05
the new cars purchasing are people
23:07
who are above 51 years old.
23:10
And so I think that the
23:12
direct and the most rapid impact
23:14
of this credit score issue would
23:17
be how it affects auto's demand
23:19
post implementation of Paris. And another
23:22
issue is the housing sector. So,
23:24
you know, Our new Treasury Secretary
23:26
has said that the Trump administration
23:29
is making the 10-year yields decline
23:31
in 10-year yields as a metric
23:34
for what they're focused on because
23:36
they want to unfreeze the housing
23:38
market. But then if the mortgage
23:41
underwriters became more stringent in writing
23:43
these loans because of this credit
23:46
score, and this new generation of
23:48
home buyers, you know, Gen Z,
23:50
you know, the millennials, They're the
23:53
ones who are seeing this plunge
23:55
in the credit score and they
23:58
will have a hard time. I
24:48
was never really a runner. The way I see
24:51
running is a gift, especially when you have stage
24:53
four cancer. I'm Anne. I'm running the Boston Marathon
24:55
presented by Bank of America. I run for
24:57
Dana Farber Cancer Institute to give people like
24:59
me a chance to thrive in life,
25:01
even with cancer. Join Bank of America
25:04
in helping Anne's cause. Give if you
25:06
can at B ofa.com/support Anne. What would
25:08
you like the power to do? References
25:10
to Charitable Organizations. It's not endorsement by
25:12
Bank of America Corporation. Corporation. Coporation.
25:15
Copyright copyright copyright, copyright,
25:17
copyright. Copyright 2025. Spring
46:26
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46:56
right, well, look, I wish we
46:58
had another three hours here, Anna.
47:00
So on the point of the
47:03
importance of the labor market, one
47:05
again, kudos last year, you guys,
47:07
I think, knocked the cover off
47:09
the ball in terms of your
47:11
predictions for the unemployment rate, I
47:14
think there was a. pretty long
47:16
string where Bloomberg Economics was the
47:18
firm that was number one incoming
47:20
closest on your forecasts. I don't
47:22
know if that records continued into
47:24
2025, but I certainly remember it
47:27
in 2024. The labor market really
47:29
is kind of one of the
47:31
last bulwarks between healthy economy and
47:33
recession. Sounds like you still believe
47:35
that the numbers there, there's some
47:37
great inflation going on with the...
47:40
the numbers that we're getting from
47:42
the BLS. In fact, we just
47:44
got the jolt's numbers this morning,
47:46
and they were not bad. We'll
47:48
put it that way. I think
47:51
they came in a little bit
47:53
lower than expected, but not totally,
47:55
and January's were revised upwards. Where
47:57
do you see unemployment headed? from
47:59
here. I mean, I got to
48:01
imagine, you may have, you got to,
48:04
I would think you would expect an
48:06
employment rate to go up later on
48:08
in the year, given that you're expecting
48:11
the slowdown. Yeah, so, so this
48:13
video will be published on
48:15
Thursday, right? And then tomorrow
48:17
we're going to be getting
48:19
the March on farm payrolls.
48:21
report. We are expecting the
48:23
March non-farm payrolls to add
48:25
about 200,000 jobs in March.
48:28
So that's stronger than most
48:30
forecaster and a Bloomberg survey.
48:32
And that's the reason why
48:34
is that we think that
48:36
March still experienced some rebound
48:38
related to weather bad weather
48:40
in January and February. In
48:42
the front running too, right? Yeah,
48:44
in the front running and the
48:46
trade and the logistics. sector, you
48:49
know, you look at truckload rejection
48:51
rates, which is a proxy for
48:53
demand for transportation, the rejection rate
48:56
has spiked in the first two
48:58
months of this year, right? So
49:00
that said, when we look at
49:03
the daily home-based data, which is
49:05
the primary input into our labor
49:07
market forecast, we see that around
49:10
the middle of March, you start
49:12
to see a very fast deceleration
49:14
in the pace of hiring. And
49:17
a pace that's faster than
49:19
the last three years. So
49:21
that's quite worrisome because
49:24
it could imply that as
49:26
we get into April, the
49:28
next jobs report we get.
49:30
So the one after this
49:32
week, I mean, so the
49:35
one we get in early
49:37
May, would actually show a
49:39
pretty weak payrolls gain. And
49:41
in terms of the unemployment
49:43
rate, I think the unemployment
49:45
rate will show even a
49:47
worse picture about the labor
49:50
market than non-farm payrolls. And
49:52
the reason why was that
49:54
many of these dose-related layoffs,
49:57
these workers are still being
49:59
paid. until closer to the
50:01
end of the year. So they
50:03
will continue to stay on the
50:06
non-farm payroll survey. So they're actually
50:08
counted as employed even though they're
50:10
no longer working. But in the
50:13
household survey, which produced the unemployment
50:15
rate, those people will report that
50:17
they are unemployed because they have
50:20
severed their relationship with the federal
50:22
government. So I think the unemployment
50:24
rate could be climbing faster than
50:27
what the non-farm payroll survey. slowdown
50:29
would suggest given this quirk in
50:31
the statistics. So I do, I
50:34
actually do think that there's a
50:36
good chance that the unemployment rate
50:38
to overshoot 4.7% by the end
50:41
of this year. Okay. All right. Thank
50:43
you for taking it there. So you
50:45
expect it to be 4.7% or above
50:48
by end of year. Yeah. Yeah. All
50:50
right. And I know you're
50:52
very busy, but hopefully we'll
50:54
have you back on at a
50:56
few points between now and
50:58
then, so you can make
51:00
some audible updates based upon the
51:03
unfolding data between now and then. I
51:05
don't want you to feel like
51:07
I'm going to hold it to that
51:09
number this early in 2025. Okay,
51:11
real quick, inflation. You
51:13
know, there's been a lot of
51:16
resurgence and concerns about inflation,
51:18
driven well, both by its
51:20
general stickiness, which may be
51:22
due more to base effects
51:24
than anything else. Love to hear
51:26
if you think that's the case or not.
51:28
But obviously tariffs have a
51:30
lot of people taking tariffs equals
51:33
inflation. As you said, we got
51:35
to go through this four phase process before
51:37
we really know the answer to that.
51:39
I would think, given again, your macro
51:42
outlook that you've laid out for us,
51:44
that you might take the under on
51:46
inflation. Because it seems like you
51:48
think the economy is going to slow
51:50
more, you know, the unemployment rate is
51:52
going to rise more. Is that true
51:54
or is it more nuanced than that?
51:57
I, everything with inflation is more
51:59
nuanced. So Adam, let me go
52:01
back to my phase one, two,
52:03
three, four for the terrorist implementation,
52:06
right? So where the inflation start
52:08
matter, being affected by tariffs would
52:10
be phase three, as I mentioned,
52:12
where the firms have finished running
52:15
down their build-up inventory. And now
52:17
they have to decide how much
52:19
more to build up. And because
52:21
now it's these new inventories are
52:24
more expensive, they also have to
52:26
decide, are they passing through? Are
52:28
they passing through? or will they
52:30
not pass through? And at
52:33
this point, if the macro
52:35
conditions is such that the
52:37
labor market is still holding
52:39
up, say if unemployment rate
52:41
when we get to September is
52:43
still only 4.3 or 4.4, I
52:45
would say that firms will try
52:47
to pass through these price. They
52:49
would try. I mean, there's no
52:52
harm in trying. I mean, the
52:54
harm would be that they will
52:56
realize that later on that the...
52:58
demand would fall by
53:00
more than they're passed through.
53:03
So this is back to
53:05
the concept of elastic, right?
53:08
A good if elastic, if
53:10
a firm increased prices by
53:13
10% and decrease in the
53:15
demand falls by more than
53:17
10%. So in that case,
53:19
their revenue fall, right? So
53:21
then a firm would try
53:24
to fine-tune to get to
53:26
the, you know, point where
53:28
it minimizes the total revenue
53:30
loss. And I think it's
53:32
kind of like a learning
53:34
process. A firm will try,
53:36
but will try to pass
53:38
through and if it turns out
53:40
that the demand at that stage
53:43
and the elasticity faced by the
53:45
firm is actually way more elastic.
53:47
So the fall in revenues in
53:49
demand is much larger than the
53:52
pass-through and they won't be able
53:54
to pass through as much because
53:56
they don't want that much of
53:58
a revenue fall. And so I
54:01
think this process of testing
54:03
to see how much they
54:06
can get away with, that's
54:08
the uncertain part. How long
54:10
does it take before they
54:13
realize that they have to
54:15
really cut prices or they
54:17
have to take the margin
54:20
hit? So in terms of
54:22
macromodels, it seems like there
54:24
will be a long
54:27
lag before that disinflationary...
54:29
impact would happen because in
54:32
order before you start to
54:34
when firms realize they really
54:36
cannot pass it through it
54:38
would be because the macro
54:41
conditions has deteriorated to a
54:43
point that's really bad and
54:45
that takes time because the
54:47
labor market does move very
54:50
slowly so I think that the
54:52
the point where it would be clear
54:54
that the clearer that the
54:56
net effect is disinflation would
54:59
be by middle of 2026,
55:01
given the lacks of all these
55:03
stuff. Okay. So, do I want to
55:05
put words in your mouth,
55:07
but do you think that
55:09
inflation then will kind of
55:11
be sticky sort of hovering
55:14
around where it is now
55:16
more or less until then
55:18
and then then we'll know
55:20
quickly whether it's game on
55:22
for inflation because they can't.
55:25
I'll tell you what we
55:27
did. So we did mark
55:29
up core PCE by a
55:31
couple tenths of a percentage
55:33
point for third quarter. But
55:35
for next year end of
55:37
2026, we do have it.
55:39
We do have it marked
55:41
down in the middle of
55:43
2026. Okay. All right. All
55:45
right. Well, look, thank you
55:47
for that. So Anna, just
55:50
fantastic. So well thought through.
55:52
so specific. This is an
55:54
interviewer's dream. Thank you. As
55:56
we wrap up here, so the
55:59
audience here are regular people,
56:01
you know, just trying to figure
56:03
out how to hopefully prudently grow
56:05
their wealth to provide for their
56:07
families. They're more nervous this year
56:10
than they were last year for
56:12
sure. Last year they were on
56:14
the second year of two great back
56:16
to back year in the markets.
56:18
This year very different. After
56:20
listening to your macro outlook
56:22
they might even be a little
56:25
bit more nervous. Any advice for
56:27
that person in terms of Yeah,
56:29
it sounds like you've I think
56:31
you've already delivered the message. Hey,
56:33
plan for an unhappy stock market
56:35
in the latter half of this year, because
56:37
as you said, sort of no matter which
56:40
way phase four goes, it's not going to
56:42
be great for the markets. Are there any
56:44
investing strategies that seem like
56:46
they would make a lot of sense
56:48
for the type of road that you
56:51
see ahead or any potential asset classes
56:53
that you think would perform particularly well
56:55
or particularly poorly? Yeah,
56:57
so I'm a macro economist,
57:00
so I really can't
57:02
give very specific investment
57:04
advice, but from a
57:06
macro point of view,
57:08
very broadly speaking about
57:11
asset classes, I would
57:13
try to not be
57:15
exposed as exposed to
57:17
the stock market for sure,
57:19
because, you know, as I
57:22
mentioned, that that either way in
57:24
either either pass, whether the firms
57:26
can pass through or the firms
57:29
cannot pass through, you're going to
57:31
see the stock market being hit
57:33
by this. And in fact, looking
57:35
at the trade policy uncertainty index,
57:38
how we're currently three times as
57:40
uncertain as the 2018, and thinking
57:42
about how the tariffs back in
57:45
2018 affected SMP 500 then, I
57:47
think 30% adjustment and a S&P
57:49
500 is not out of the
57:52
realm of possibility. So So if you
57:54
think about that tell risk, you
57:56
don't need to believe that that
57:59
will happen. just entertain
58:01
that possibility that
58:03
S&P 500 could fall
58:05
by 30%. And what would you
58:08
do? Well, you also certainly,
58:10
we cannot say for
58:13
sure that tariffs are
58:15
inflationary or disinflationary. So
58:17
I also would not take
58:20
a very definitive stance
58:22
on assets that either
58:24
expect high inflation or
58:26
inflation or. asset class
58:28
that's low on inflation.
58:30
I would actually focus
58:32
on assets that is
58:34
acyclical and agnostic on
58:36
the business cycle if such
58:38
asset classes exist and also
58:40
focus on the structural trends.
58:43
So what are the structural
58:45
trends? Even if we come
58:47
out of, you know, the
58:49
next four years, next three
58:51
years, what trends still exist?
58:53
I recently reread Bill Gross book,
58:56
a book that he wrote in
58:58
1990s, I think it's called How
59:00
to invest what everybody tells how
59:03
what everybody say is what everybody
59:05
say about investment is wrong or
59:07
something like that. It's a book
59:10
written by Bill Gross. And there
59:12
was a chapter where he said,
59:14
if he were to go to a remote
59:16
island. for many years and before
59:18
he go to the remote island
59:20
or after he come back for
59:23
the remote island what is the
59:25
one data point that would be
59:27
sufficient for him to think
59:30
about investment. He says demographics
59:33
and he's right about
59:35
that. Demographics is perfectly
59:38
predictable and and in terms
59:40
of the structural demand for
59:42
housing for stocks it is
59:44
a function of the prime
59:46
age group, right? By being
59:49
able to predict how
59:51
like the the abs and
59:53
flow of the size of
59:55
these prime age people between
59:58
age 30 to age 45
1:00:00
where they'd be spending a lot, because
1:00:02
these are the most indebted people. They
1:00:04
buy things, they buy houses, they start
1:00:06
a family, they take care of older
1:00:08
parents, and by following that, you could
1:00:10
have a pretty decent guess of what
1:00:13
demand on things generally would be looking
1:00:15
like in five to 10 years. The
1:00:17
second structural trend is AI adoption, right?
1:00:19
And I and the key word here
1:00:21
is not AI. The key word here
1:00:23
is adoption. Because I think there, you
1:00:26
know, one could say there have been,
1:00:28
you know, many people have said the,
1:00:30
the, the invidious stocks and various AI
1:00:32
chip stocks have been driven higher already
1:00:34
is out of reach for most people.
1:00:36
But the next phase of AI is
1:00:38
adopting AI. And I mentioned the demographics
1:00:41
trends, right there. We have, you know,
1:00:43
the, you know, the, baby boomers now
1:00:45
the last of baby boomers is likely
1:00:47
entering retirement this year and so you
1:00:49
have this very sizable a distribution of
1:00:51
people age 65 to 80 and they'll
1:00:53
be requiring more health care and AI
1:00:56
actually has become a pretty promising and
1:00:58
cost efficient way of servicing the health
1:01:00
care needs of the older population. And
1:01:02
so I think there are a lot
1:01:04
of very interesting structural changes related to
1:01:06
demographics and AI that that would be
1:01:08
insensitive to the business cycles that that
1:01:11
we are experiencing. I think people should
1:01:13
explore more of that and develop their
1:01:15
own opinion on what would be the
1:01:17
structural trend. All right. Five to ten
1:01:19
years. Fantastic and great point. And then
1:01:21
I. much less intelligently. I just sort
1:01:23
of think about it as try to
1:01:26
find a force of nature that no
1:01:28
matter what else is going on that
1:01:30
force of nature is going to overpower
1:01:32
it going forward and on. the aging
1:01:34
of the boomer demographic is one of
1:01:36
those forces of nature. All right, fantastic
1:01:39
Anna will look very quickly folks. If
1:01:41
you've enjoyed this conversation with Anna as
1:01:43
much as I have, please let her
1:01:45
know that by hitting the like button
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and then clicking on the subscribe button
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1:02:39
And I want to give another thanks
1:02:41
here to Anna. So for our macro
1:02:43
pass subscribers, the premium subscribers to our
1:02:45
sub-stack, we're going to have a recent
1:02:47
piece from Anna coming out later this
1:02:49
week. Basically, her team's reaction to the
1:02:51
liberation day data, once we know them
1:02:54
the day after we were sitting here
1:02:56
recording this video. So anyways, Anna, I
1:02:58
want to thank you for that too.
1:03:00
Thank you. Thank you for having me
1:03:02
again, Adam. Anna, it is always such
1:03:04
a pleasure. I'll be following you very
1:03:07
closely. I highly recommend everybody else to
1:03:09
us too. Where should they go to
1:03:11
follow you? So the first place is
1:03:13
on Twitter. So my handle is at
1:03:15
Anna Economist. And the second way is
1:03:17
if you have a Bloomberg terminal subscription,
1:03:19
our pieces, written pieces and thematic pieces
1:03:22
can be found on BECO. BECO. And
1:03:24
you can even see written pieces by
1:03:26
my colleagues who covered the economy of
1:03:28
China, geopolitics. Europe from all over the
1:03:30
all over the
1:03:32
world go. All right, and Anna, when
1:03:34
I edit this, I right. put
1:03:37
up when I edit
1:03:39
this, I will
1:03:41
put up the to those
1:03:43
on the URLs here
1:03:45
those on the screen
1:03:47
here so folks
1:03:49
know exactly where to
1:03:52
go. the Folks, the
1:03:54
links will be
1:03:56
in the description below
1:03:58
the video below the
1:04:00
Again, Anna, just such
1:04:02
a pleasure. a Thanks
1:04:04
so much. Looking
1:04:07
forward to have you
1:04:09
back on forward to
1:04:11
to give us an
1:04:13
update. Q3 to give us
1:04:15
right. Thank you, Adam.
1:04:17
Bye. Adam. Bye. All right.
1:04:20
And everyone else,
1:04:22
thanks so much for
1:04:24
watching. watching.
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